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How to set a default colormap in Matplotlib?
To set a default colormap in matplotlib, we can take the following steps −
- Create random data using numpy, array dimension 4×4. 
- Create two axes and one figure using subplots() method. 
- Display the data as an image with the default colormap. 
- Set the title of the image, for the default colormap. 
- Set the default colormap using matplotlib rcParams. 
- Display the data as an image, with set default colormap. 
- Set the title of the image, for the default colormap. 
- Adjust the padding between and around the subplots. 
- To display the figure, use show() method. 
Example
import numpy as np from matplotlib import pyplot as plt import matplotlib as mpl plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.rand(4, 4) fig, (ax1, ax2) = plt.subplots(2) ax1.imshow(data) ax1.set_title("Default colormap") mpl.rc('image', cmap='RdYlBu_r') ax2.imshow(data) ax2.set_title("Set default colormap") plt.show()  Output

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